Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Reinforcement Schedules01:24

Reinforcement Schedules

494
Positive reinforcement is a powerful method for teaching new behaviors to both animals and humans. B.F. Skinner demonstrated this with his experiments using rats in a Skinner box. When a rat pressed a lever, it received a food pellet. This immediate reward encouraged the rat to repeat the behavior. This method, where a reward follows every instance of the behavior, is known as continuous reinforcement. It is highly effective for establishing new behaviors quickly.
Once a behavior is learned,...
494
Path Between Thermodynamics States01:21

Path Between Thermodynamics States

4.0K
Consider the two thermodynamic processes involving an ideal gas that are represented by paths AC and ABC in Figure 1:
4.0K
Mean free path and Mean free time01:22

Mean free path and Mean free time

5.1K
Consider the gas molecules in a cylinder. They move in a random motion as they collide with each other and change speed and direction. The average of all the path lengths between collisions is known as the "mean free path."
5.1K
Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion03:48

Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion

31.3K
Although gaseous molecules travel at tremendous speeds (hundreds of meters per second), they collide with other gaseous molecules and travel in many different directions before reaching the desired target. At room temperature, a gaseous molecule will experience billions of collisions per second. The mean free path is the average distance a molecule travels between collisions. The mean free path increases with decreasing pressure; in general, the mean free path for a gaseous molecule will be...
31.3K
Interference: Path Lengths01:10

Interference: Path Lengths

2.2K
Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
2.2K
Compounds Essential to Human Function01:25

Compounds Essential to Human Function

10.1K
The human body is composed of cells that are fundamentally made up of several different molecules. These molecules are essential to carry out all physiological processes in the body and are broadly classified into organic and inorganic based on their chemical structures.
Inorganic Compounds Essential to Human Functioning
Inorganic compounds essential to human functioning include water, salts, acids, and bases. These compounds are inorganic, i.e., they do not have a carbon-hydrogen bond. Water...
10.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Effects of a glucocorticoid on development of kidney deficiency syndrome in a rat model of asthma].

Zhong xi yi jie he xue bao = Journal of Chinese integrative medicine·2010
Same author

[A case of respiratory epithelial adenomatoid hamartoma in nasal cavity.].

Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery·2010
Same author

[Construct cosmid libraries by isolating large genomic DNA fragments from Monascus ruber].

Wei sheng wu xue bao = Acta microbiologica Sinica·2010
Same author

Retinal tissue engineering using mouse retinal progenitor cells and a novel biodegradable, thin-film poly(e-caprolactone) nanowire scaffold.

Journal of ocular biology, diseases, and informatics·2010
Same author

[Correlation between MR diffusion weighted imaging with malignant degree of rabbit liver VX2 tumor models].

Zhonghua yi xue za zhi·2010
Same author

[Immune response in BALB/c mice immunized with BCG expressing HBV truncated C gene and preS1 gene].

Xi bao yu fen zi mian yi xue za zhi = Chinese journal of cellular and molecular immunology·2010
Same journal

Thymidylate synthase inhibitory drugs induce p53-dependent pathways differently.

PloS one·2026
Same journal

Top-down and bottom-up attention for joint pattern classification and reconstruction.

PloS one·2026
Same journal

Short- and long-term scaling behavior of blood pressure and pulse arrival time during sleep in healthy controls and patients with obstructive sleep apnea.

PloS one·2026
Same journal

Double DQN-based secrecy energy efficiency and fairness performance in IRS-assisted NOMA systems with friendly jamming.

PloS one·2026
Same journal

10 recommendations for strengthening citizen science for improved societal and ecological outcomes: A co-produced analysis of challenges and opportunities in the 21st century.

PloS one·2026
Same journal

Paying in public: Peer effects, impression management, and willingness to pay on digital payment platforms.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Jan 28, 2026

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

15.2K

A deadline constrained scheduling algorithm for cloud computing system based on the driver of dynamic essential path.

Xia Shao1, Zhiqiang Xie1, Yu Xin1

  • 1College of Computer and Technology, Harbin University of Science and Technology, Harbin, Heilongjiang, China.

Plos One
|March 9, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a deadline-constrained scheduling algorithm for cloud computing, optimizing task execution and reducing costs. The Deadline-DDEP algorithm ensures tasks meet deadlines while improving performance by up to 30.8%.

More Related Videos

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

9.2K
Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
08:49

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Published on: June 20, 2025

1.2K

Related Experiment Videos

Last Updated: Jan 28, 2026

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

15.2K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

9.2K
Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
08:49

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Published on: June 20, 2025

1.2K

Area of Science:

  • Cloud Computing
  • Algorithm Design
  • Task Scheduling

Background:

  • Deadline-constrained task scheduling is a critical challenge in cloud computing.
  • Existing algorithms often struggle to balance deadline adherence with execution cost minimization.

Purpose of the Study:

  • To propose a novel deadline-constrained scheduling algorithm for cloud computing systems.
  • To enhance task scheduling efficiency by minimizing execution costs while meeting user-defined deadlines.

Main Methods:

  • Developed the Deadline-DDEP algorithm, incorporating a dynamic essential path driver.
  • Introduced a dynamic sub-deadline strategy considering task node dependencies and essential paths.
  • Implemented a quality assessment of optimization cost strategy for server selection.

Main Results:

  • The proposed algorithm successfully meets deadline constraints for task graphs.
  • Achieved significant performance improvement in total execution cost, ranging from 10.3% to 30.8%.
  • Demonstrated superior performance compared to existing algorithms like IC-PCP, DCCP, and CD-PCP.

Conclusions:

  • The Deadline-DDEP algorithm offers a high-quality scheduling solution for scientific applications in cloud environments.
  • The dynamic sub-deadline and cost optimization strategies effectively address deadline constraints and reduce execution costs.
  • The algorithm provides a robust and efficient approach to cloud task scheduling.